Research on Hierarchical Interactive Teaching Model Based on Naive Bayesian Classification

DOI

10.2991/csece-18.2018.70How to use a DOI?

Keywords

Naive Bayesian; student classification; hierarchical interactive; teaching model

Abstract

The purpose of this research is improving the current inject classroom teaching mode that ignores individual differences and inefficiency of students. By studying classification algorithm in data mining and applying the classification method based on Naive Bayes algorithm, we designed and implemented scientific classification of students, and draw lessons from stratified and interactive teaching mode, so as to builded a new effective teaching mode. The results show that through scientific classification of students, real-time hierarchical interaction teaching effectively stimulate students' interest in learning, improve cooperation ability, and improve classroom teaching efficiency.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Dongyan Fan
PY  - 2018/02
DA  - 2018/02
TI  - Research on Hierarchical Interactive Teaching Model Based on Naive Bayesian Classification
BT  - Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SP  - 325
EP  - 328
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.70
DO  - 10.2991/csece-18.2018.70
ID  - Fan2018/02
ER  -